Telegram RegisterThe public register of Telegram

Channel

High Five

@HighFivenba

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,878subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001104193800
TypeChannel
Username@HighFivenba
Created14 June 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/HighFivenba

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

3,8783,8883,8836 August 2026 — 3,888 subscribers6 August 2026 — 3,888 subscribers8 August 2026 — 3,882 subscribers11 August 2026 — 3,878 subscribers6 August 202611 August 2026
4 measurements spanning 6 days, net -10. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,877–3,890 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 23:073,878-4
8 Aug 2026, 23:033,882-6
6 Aug 2026, 04:213,888no change
6 Aug 2026, 01:063,888first reading

Engagement

21 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
37.2%
avg views ÷ 3,878 subscribers
Avg views / post
1,440
11 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
11
of 21 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (22 June 20267 August 2026)
Views total15,876
Reactions total165
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:59 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

244 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13454.9%
🔥6024.6%
3413.9%
👻72.87%
👏20.82%
😁20.82%
😱20.82%
🙊10.41%
🤡10.41%
🥰10.41%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 21 of the 21 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 259reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 22 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

7 Aug 2026, 14:36 UTC416 views20 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Потихоньку начинаю готовиться к предстоящему циклу топов на каждой из 5 позиций, и за 2 года с момента записи подобной рубрики я изрядно подзабыл, насколько порой геморройно относить отдельного игрока к конкретной позиции на площадке. 3 года назад я брал исключительно заключительный сезон и то, где по данным Basketball Reference игроки использовались чаще всего. Простой и прямолинейный метод, который излишне не ебет

🔥9👍8😁21

Signed Mark Burchakov

5 Aug 2026, 14:17 UTC664 views11 reactionsread 8 August 2026
Forwarded from @soshpodFile

Новый Сошников 🏀 🎧 Редрафт 2021 - кто должен был драфтовать Кумингу, где бы выбрали Ривса, кто главный баст Выпуск в ВКвидео Выпуск в Youtube 💰Поддержать подкаст можно в юмани на бусти или здесь в телеге донатом или подпиской

👍8🔥3

4 Aug 2026, 06:54 UTC996 views13 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Новый выпуск подкаста BasketTalk с участием Марка Бурчакова (High Five, Взял Мяч) и Сергея Егияна (High Five). Обсуждаем сложную межсезонную ситуацию "Денвера", а также проводим редрафт НБА 2016 года с участием Джейлена Брауна, Паскаля Сиакама, Джамала Мюррэя и других. Приятного прослушивания! https://www.youtube.com/watch?v=BGEvhOw4-xA

👍6🔥43

Signed Mark Burchakov

1 Aug 2026, 13:44 UTC≈1,270 views19 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Недавно нашел очень любопытную статистику, которая способна подсветить качество защищающих свое кольцо игроков. Называется Block Recovery % и демонстрирует, какая часть выписанных соперникам блокшотов приводит к сохранению мяча у своей команды. Простыми словами - метрика подсвечивает самые эффективные горшки, провоцирующие смену владения и следовательно дающие в том числе высокие шансы на ответный быстрый отрыв, а н

👍12🔥43

Signed Mark Burchakov

30 Jul 2026, 13:16 UTC≈1,260 views6 reactionsread 8 August 2026
Forwarded from @soshpodFile

Новый Сошников 🏀🎧 Оставшиеся свободные агенты - куда перейдут Дерозан, Дюрен и Куминга Выпуск в ВКвидео Выпуск в Youtube Выпуск в видеоспортсе 00:00:00 - интро 00:01:10 - что будет с Уотсоном 00:22:37 - что будет с Дюреном 00:36:37 - что будет с Мэтурином 00:45:17 - куда подпишется Куминга 00:52:10 - куда подпишутся Дерозан и Бил 00:59:54 - ответы на вопросы 💰Поддержать подкаст можно в юмани на бусти или здесь

🔥42

29 Jul 2026, 14:49 UTC≈1,440 views26 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Шел 29-й день рынка свободных агентов, а Джонатан Куминга оставался все еще свободным агентом. На первый взгляд, бывший форвард "Голден Стэйт" и "Атланты" является квинтэссенцией клуба "жадность фраера сгубила", но на самом деле ситуация немного сложнее. Многие уже успели увидеть рассказы про агента игрока Аарона Тернера. Несколько дней назад на реддите в народ ушел пост, где вспоминались громкие косяки данного това

👍165🔥5

Signed Mark Burchakov

25 Jul 2026, 12:51 UTC≈1,820 views11 reactionsread 8 August 2026
Forwarded from @soshpodFile

Новый Сошников 🏀 🎬 Леброн в Сиксерс Выпуск в ВКвидео Выпуск в Youtube 💰Поддержать подкаст можно в юмани на бусти или здесь в телеге донатом или подпиской

👍9👻2

25 Jul 2026, 07:30 UTC≈1,820 views9 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Новый выпуск подкаста BasketTalk с участием Марка Бурчакова (High Five, Взял Мяч) и Олега Горбатова (Detroit Pistons ВК). Обсуждаем решение ЛеБрона Джеймса перейти в "Филадельфию", дальнейшие судьбы гонявшихся за ним команд ("Майами", "Кливленд", "Голден Стэйт"), трехсторонний обмен между "Оклахомой", "Атлантой" и "Далласом" с участием Лу Дорта и Закари Рисаше, а также глубоко всматриваемся в межсезонье "Детройта".

🔥4👍21👻1🥰1

Signed Mark Burchakov

22 Jul 2026, 13:03 UTC≈1,980 views18 reactionsread 8 August 2026
Forwarded from @soshpod

Пока новых новостей нет, я решил еще раз помусолить обмен Брауна. С момента сделки прошло уже достаточно долго, за это время высказаны примерно все теории, объясняющие именно такую структуру сделки (т.е. почему так мало). В тексте разобраны все доводы в пользу того, почему Браун должен был быть дешев, и мы как бы не должны удивляться

👍105😱2🙊1

21 Jul 2026, 17:42 UTC≈1,940 views12 reactionsread 8 August 2026
Forwarded from @soshpodFile

Новый Сошников 🏀🎧 Обмен Кавая отменят? Бакс обошли потолок зарплат? Зачем Тандер обменяли Дорта? Выпуск в ВКвидео Выпуск в Youtube 00:00:00 - интро 00:01:12 - обмен Дорта 00:14:28 - обмен Кавая 00:20:38 - контракт Вемби 00:26:56 - контракт Митчелла 00:31:24 - контракт Трента 00:40:25 - ответы на вопросы 💰Поддержать подкаст можно в юмани на бусти или здесь в телеге донатом или подпиской

👍11👻1

17 Jul 2026, 14:05 UTC≈2,270 views20 reactionsread 8 August 2026
Forwarded from @baskettalk_streams

Прошлым летом я уже делал разбор всех решений принять квалификационное предложение вместо предоставленных командами вариантов за последние 10 лет, и за год этот список увеличился. Квентин Граймс по слухам прошлым летом желал получить предложение в районе 25 миллионов в год на несколько лет. В таких ситуациях принято говорить "ваши ожидания - ваши проблемы", ведь бывший президент "Сиксерс" по баскетбольным операциям

👍87🔥3👏2

Signed Mark Burchakov

5 Jul 2026, 13:16 UTC≈2,860 views4 reactionsread 8 August 2026
Forwarded from @soshpodFile

Новый Сошников 🎧🏀 Почему обменяли Брауна, куда перейдет Леброн и дайджест межсезонья 00:00:00 - интро 00:01:22 - зачем меняли Брауна 00:33:00 - зачем отдали Робинсона 00:38:49 - дайджест новостей 01:00:16 - лучшая команда для Леброна Выпуск в ВКвидео Выпуск в Youtube 💰Поддержать подкаст можно в юмани на бусти или здесь в телеге донатом или подпиской

🔥4

Showing the 12 most recent of 21 posts we hold for @HighFivenba. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 606,308 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 August 2026 — this entry's latest reading, not the date you are reading this.

“High Five” (@HighFivenba), 3,878 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/HighFivenba.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.